Abstract
Fuzzy Decision Making in Medical Diagnosis Using an Advanced Distance Measure on Intuitionistic Fuzzy Sets
Highlights
Zadeh in 1965, introduced the concept of Fuzzy Set Theory (FST) [1]
The result obtained by the case study carried out with the help of the proposed distance measure is analyzed by comparing results with the existing result of medical diagnosis
Significant effort has been made by researchers to show efficiency of Intuitionistic Fuzzy Sets (IFSs) in the uncertainty modelling problems and applicability in a wide range of areas, such as decision making, fuzzy optimization, pattern recognition, medical diagnosis etc
Summary
Decision making in medical diagnosis is becoming a vast research field in medical science. In the last few decades, the role of distance measure in decision science is significant. Various distance measures on IFSs have been developed by many researchers and used in medical diagnosis in last few decades
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